Lista de obras -

A multi-task learning approach for the extraction of single-trial evoked potentials

artículo científico publicado en 2012

A novel nonparametric approach for the identification of the glucose-insulin system in Type 1 diabetic patients

Artificial pancreas: model predictive control design from clinical experience

artículo científico publicado en 2013

Closed-loop artificial pancreas using subcutaneous glucose sensing and insulin delivery and a model predictive control algorithm: preliminary studies in Padova and Montpellier

artículo científico publicado en 2009

Control to range for diabetes: functionality and modular architecture

artículo científico publicado en 2009

Day and night closed-loop control in adults with type 1 diabetes: a comparison of two closed-loop algorithms driving continuous subcutaneous insulin infusion versus patient self-management

artículo científico publicado en 2013

Diabetes: Models, Signals, and Control

artículo científico publicado en 2009

Efficient Nonparametric Population Modeling for Large Data Sets

Enhancing the Accuracy of Subcutaneous Glucose Sensors: A Real-Time Deconvolution-Based Approach ⬇️

artículo científico publicado el 23 de marzo de 2012

Evaluating the efficacy of closed-loop glucose regulation via control-variability grid analysis

artículo científico publicado en 2008

Fast algorithms for nonparametric population modeling of large data sets

Fully integrated artificial pancreas in type 1 diabetes: modular closed-loop glucose control maintains near normoglycemia

artículo científico publicado en 2012

Model individualization for artificial pancreas

artículo científico publicado en 2016

Model predictive control of type 1 diabetes: an in silico trial

artículo científico publicado en 2007

Multicenter closed-loop insulin delivery study points to challenges for keeping blood glucose in a safe range by a control algorithm in adults and adolescents with type 1 diabetes from various sites.

artículo científico publicado en 2014

Multinational study of subcutaneous model-predictive closed-loop control in type 1 diabetes mellitus: summary of the results

artículo científico publicado en 2010

Neural network incorporating meal information improves accuracy of short-time prediction of glucose concentration

artículo científico publicado en 2012

Run-to-run tuning of model predictive control for type 1 diabetes subjects: in silico trial

artículo científico publicado en 2009

WINSTODEC: a stochastic deconvolution interactive program for physiological and pharmacokinetic systems

artículo científico publicado en 2002

Lista de obras de

A multi-task learning approach for the extraction of single-trial evoked potentials

A novel nonparametric approach for the identification of the glucose-insulin system in Type 1 diabetic patients

Artificial pancreas: model predictive control design from clinical experience

Closed-loop artificial pancreas using subcutaneous glucose sensing and insulin delivery and a model predictive control algorithm: preliminary studies in Padova and Montpellier

Control to range for diabetes: functionality and modular architecture

Day and night closed-loop control in adults with type 1 diabetes: a comparison of two closed-loop algorithms driving continuous subcutaneous insulin infusion versus patient self-management

Diabetes: Models, Signals, and Control

Efficient Nonparametric Population Modeling for Large Data Sets

Enhancing the Accuracy of Subcutaneous Glucose Sensors: A Real-Time Deconvolution-Based Approach ⬇️

Evaluating the efficacy of closed-loop glucose regulation via control-variability grid analysis

Fast algorithms for nonparametric population modeling of large data sets

Fully integrated artificial pancreas in type 1 diabetes: modular closed-loop glucose control maintains near normoglycemia

Model individualization for artificial pancreas

Model predictive control of type 1 diabetes: an in silico trial

Multicenter closed-loop insulin delivery study points to challenges for keeping blood glucose in a safe range by a control algorithm in adults and adolescents with type 1 diabetes from various sites.

Multinational study of subcutaneous model-predictive closed-loop control in type 1 diabetes mellitus: summary of the results

Neural network incorporating meal information improves accuracy of short-time prediction of glucose concentration

Run-to-run tuning of model predictive control for type 1 diabetes subjects: in silico trial

WINSTODEC: a stochastic deconvolution interactive program for physiological and pharmacokinetic systems